Strategic Core Account Executive - Financial Services

Posted 2 Days Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Enterprise account executive responsible for selling Databricks cloud data platform into financial services. Manage complex and short sales cycles, engage CIOs and IT/LOB leaders, drive pipeline and consumption, track opportunities in Salesforce, and exceed revenue targets.
Summary Generated by Built In

SLSQ227R476

As a Strategic Enterprise Account Executive - Financial Services at Databricks, you are a strategic sales professional experienced in selling into enterprise accounts. Having experience working with Financial Services accounts is preferred. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to drive consumption. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The impact you will have:

  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quick, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark™
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and applying appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts

What we look for:

  • You have previously worked in an early stage company and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, or SaaS sales
  • FINS Experience
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 7+ years experience exceeding sales quotas
  • Understanding of Spark and big data preferable
  • Passion for cloud technologies
  • Bachelor's Degree

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Skills Required

  • 7+ years experience exceeding sales quotas
  • Bachelor's Degree
  • Field sales experience in big data, cloud, or SaaS
  • Experience working in an early-stage company
  • Prior relationships with CIOs, program managers, and decision makers
  • Experience tracking customer details and forecasting in Salesforce
  • Ability to articulate complex cloud technologies and sell solution-based approaches
  • Understanding of Apache Spark and big data
  • Financial Services (FINS) experience
  • Passion for cloud technologies

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Equity Value & Accessibility Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
  • Leave & Time Off Breadth Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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